On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Object detection using remote sensing data is a key task of the perception systems of self-driving vehicles. While many generic deep learning architectures have been proposed for this problem, there is little guidance on their suitability when using them in a particular scenario such as autonomous d...

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Bibliographic Details
Main Authors: Manuel Carranza-García, Jesús Torres-Mateo, Pedro Lara-Benítez, Jorge García-Gutiérrez
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Remote Sensing
Subjects:
autonomous vehicles
convolutional neural networks
deep learning
object detection
transfer learning
Online Access:https://www.mdpi.com/2072-4292/13/1/89

Internet

https://www.mdpi.com/2072-4292/13/1/89

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